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1
Warnars, Spits. "Perbandingan Penggunaan Database OLTP dan Data Warehouse." CCIT Journal 8, no. 1 (2014): 83–100. http://dx.doi.org/10.33050/ccit.v8i1.274.
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As a permanent storage for business process transaction, database is a crucial and the needed for the system. Using database often does not match with the ability and functionality and even is it possible as theory said about using transaction database and beyond the advantages and disadvantages, separating using between transactional database and database for decision making will mine the ability and the powerful database as much as possible. Beside that daily transaction will increase the database capacity month by month and year by year and will decrease the performance, especially for customer daily services. Separating between database transaction and database for decision making will decrease connection to daily database transaction and increase daily database transaction as which is run by application and will implicate the increasing customer satisfaction. Moreover making the strategic reports for decision making never ever become a nightmare and unimportant thing. Differentiation efficiency for saving the amount of data byte and effectiveness the query speed in sql statement in order to make the decision making reports will be used as an approach for justification.
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Puspitorini, Sukma, and Miftahul Jannah Vemi Putri. "SISTEM INFORMASI CUSTOMER HISTORY PADA ACE HARDWARE JAMBI PRIMA MALL." JURNAL AKADEMIKA 14, no. 2 (2022): 7–13. http://dx.doi.org/10.53564/akademika.v14i2.853.
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The customer service staff at the Ace Hardware Jambi Prima Mall company with one of the job desks is managing the customer database used for marketing strategy, the customer database management is not effective because it still uses the manual method from the desktop application at the company by typing into Microsoft Excel. The purpose of this Customer History Information System practical work report is to make the effectiveness of the work of customer service staff to manage customer databases using case study research methods, developing this website application using the PHP programming language and the phpMyAdmin database. The pages in this application are input, process, and output, for the input needed in this application is customer data and transaction data with promo blast data processing then WhatsApp blast status. Which of the previous inputs and processes will produce reports or outputs of customers who have registered as members or have not become members, how many according to the selected period, as well as transaction data and other processes from research conducted to make it easier for customer service staff to manage the data.
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Mohamed, Asghaiyer. "Network load traffic on MySQL atomic transaction database." Bulletin of Social Informatics Theory and Application 4, no. 1 (2020): 35–39. http://dx.doi.org/10.31763/businta.v4i1.188.
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Internet technology is developing very rapidly especially on the database system. Today's database has led to data that cannot be processed into the traditional way that we call big data. Some data stored on the server requires a way for the data to be valid and intact for that transaction mechanism appears on RDBMS which ensures that the data stored will become a unified whole as in customer account data, withdrawal of money at ATMs, e-transactions -commerce and so on.
 Of course the use of transactions in a database by not using Atomic transactions has a difference in terms of traffic on the network. This research appears by analyzing network traffic or density from a database that uses transactions and not to users who access them. This research method uses a questionnaire method by distributing questionnaires quantitatively to 300 respondents. The results of the study of approximately 300 respondents, researchers get the results that the use of transactions in databases and databases without transactions after being accessed by 300 people, the densest network is a network owned by a system that uses transaction features, this is because there is a slight increase of about 13% of traffic when compared to a network without transactions. This statement shows that two-way communication from a database that has the transaction provides feedback to the user so that the data is reliable as an indicator that the data has been stored safely. Further research can be done by finding other information or a study of big data using the atomic transaction model.
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Rao, Hao. "Design and Implementation of Stone Materials Information System." Advanced Materials Research 850-851 (December 2013): 724–27. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.724.
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Stone Materials Information System use ActionScript to connect SQLite database. Information of stone materials, transaction, customer, employee can be stored by system. Several database tables are created in the system. Functions are used to complete data modification operations. Stone Materials Information System provides convenience for stone material transactions between the manufacturer and the customer.
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Wicaksono, Yanuar. "SEGMENTASI PELANGGAN BISNIS DENGAN MULTI KRITERIA MENGGUNAKAN K-MEANS." Indonesian Journal of Business Intelligence (IJUBI) 1, no. 2 (2019): 45. http://dx.doi.org/10.21927/ijubi.v1i2.872.
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Customer knowledge is an important asset, in gathering, and managing from sharing customer knowledge into valuable capital for the company. This causes the company to continue to innovate in producing products and serving according to customer needs. To find out the needs of each customer, the company needs to make customer segmentation. Customer segmentation is defined as the division into different groups with similar characteristics to develop marketing strategies that are tailored to customer characteristics. The easiest, simplest, well-known and commonly used model of customer characteristics is the model of the recency, frequency, monetary (RFM) criteria. The RFM model still has weaknesses in low customer segmentation capacity and does not provide information on the continuity of customer transactions in understanding customer loyalty. The research method used is the Knowledge Discovery in Database (KDD) method. The data is transformed into another format that suits the needs of analysis and then the customer is segmented using clustering data mining techniques with the K-Means algorithm. From the experiments, the RFM model guesses loyal customers when reviews, frequency and monetary are high. In reality, the recency only provides information on the customer making the last transaction and the high number of transaction frequencies can be done without the customer's stability in making transactions each period. Implementing multi-criteria in customer segmentation can be better than just RFM criteria. So it will not be wrong to treat customers according to the groups that have been formed.
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Puspitorini, Sukma, Reny Wahyuning Astuti, and Miftahul Jannah Vemi Putri. "ASSOCIATION RULE MINING UNTUK PROMO WHATSAPP BLAST PADA PRODUK ACE HARDWARE JAMBI PRIMA MALL." JURNAL AKADEMIKA 15, no. 1 (2022): 90–96. http://dx.doi.org/10.53564/akademika.v15i1.848.
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Customer service staff at the Ace Hardware Jambi Prima Mall company with one of their jobs is to manage customer databases that are used for marketing strategies, one of which is whatsapp blast, but the customer database is not widely managed, therefore the purpose of this data mining analysis thesis report is to use association rules on the method a priori to describe promos addressed to customers based on shopping history. Association rules were formed with the help of the weka tools through a case study of promotional facilities at Ace Hardware Jambi Prima Mall, the development of this website application using the PHP programming language and the phpMyAdmin database. Weka tools are used for the process of finding the best association rules from training data or customer transaction data and the website application is used to display promo predictions from the results of association rules on weka tools. The inputs needed in this application are customer data, transaction data, product data and promo data with a promo prediction process and whatsapp blast status. From the input and the previous process, it will generate reports or customer outputs who will get promos based on shopping history.
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Bagus Sudirman and Ahmad Ashifuddin Aqham. "Sistem Informasi Pelayanan Jasa Laundry Pada Rumah Laundry Kendal." Jurnal Teknik Informatika dan Teknologi Informasi 3, no. 3 (2023): 115–21. http://dx.doi.org/10.55606/jutiti.v3i3.3424.
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Currently it is still done manually and causes difficulties in data retrieval and income capitulation, there are several steps that can be taken to increase efficiency and accuracy in administrative management. Here are some suggestions: Management Information System (MIS) or Laundry Application: Implement a management information system or laundry-specific application that can help automate administrative processes. This application can record laundry receipt transactions, record customer data, and store income information in a more structured manner. Barcode or Unique Identification System: Use a barcode or unique identification system on each laundry receipt. This will make it easier to track and search data. Each customer or order can have a unique code or barcode that can be scanned to identify the transaction. Electronic Logging: Switch from manual logging to electronic logging. Use spreadsheet or database software to store and manage data. Make sure all laundry receipt data, including customer information and type of service, is recorded carefully. Centralized Database System: By implementing these solutions, you can optimize the laundry service administration process, reduce data search time, and increase revenue management efficiency. The aim of creating a Laundry Service Information System is to make it easier for business owners to manage customer transaction data and in preparing financial reports. The methods used in collecting data are observation, interviews and literature study, while the system development method used is R&D (Research and Development). This system was built using the PHP programming language, Boostrap, and for the database using MySQL. The results of this research are a web-based laundry service information system. This laundry service information system contains 2 access rights, namely Admin and customer. Customers can find out the status of their laundry and payments, while Admins can manage customer data, manage transactions, and view print reports
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Dhakirah, Sanita, Hilda Cahyani, Isnaini Nur Safitri, Aisyah Vanadia Rubianto, and Novitasari. "PENGELOLAAN DAN MONITORING DATABASED PELANGGAN DENGAN LITERASI FITUR MS. EXCEL PADA UMKM KRIPIK TEMPE SANAN RIZKY BAROKAH DI KOTA MALANG." Jurnal Pengabdian kepada Masyarakat 10, no. 2 (2023): 221–26. http://dx.doi.org/10.33795/abdimas.v10i2.4512.
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In this modern era, doing business requires a marketing strategy to market a product. One good marketing method is to utilize a customer database. A database is a collection of data or information stored systematically. Meanwhile, the customer database is data that contains customer personal information, such as name, email, telephone number, age, gender, product search history, transaction history and other demographic and psychographic data. This database can be used to build and maintain a business, as well as establishing good relationships with customers. As Micro, Small and Medium Enterprises (MSMEs), the hope is that they can keep up with developments by becoming familiar with data. When you are data literate, it will make it easier for MSMEs to develop their business in this digital era. The customer database will help MSMEs reach more consumers. Utilizing data coupled with knowledge in processing customer databases is one of the keys to successfully managing a business. As an MSME actor, you must also be able to use data optimally. The Sanan tempeh chips center, as one of the areas in Malang City, is the center of a home industry that produces tempeh chips that are still surviving in this global era. The aim of this research is to help MSMEs to manage customer databases, business actors know and of course create the best business strategies
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Murti, Ardila, Nuur Rochman Naafian, and Ari Pantjarani. "Web-Based Goods Delivery Data Archiving Information System (Case Study of Indah Kartasura Logistics Cargo)." Radiant 4, no. 3 (2024): 208–21. http://dx.doi.org/10.52187/rdt.v4i3.162.
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Documents or data are very important and crucial information for a company. One of the important documents for a company is transaction data for a company engaged in a particular field. There needs to be a good filing system so that transaction data can be recorded and used if needed in the future. Indah Logistics Cargo is an agency engaged in the field of freight transportation services to all Regencies and Provinces in Indonesia. The agency already has software that is useful for printing transaction receipts, but there are problems in the customer service section when complaints from customers arise. This happened because there was no data in the software in the customer service section and had to check manually with the administration section. The menual process occurs because there are no access rights granted to the customer service department to view transaction data. The system causes the process to be slow and the customer to be uncomfortable. The purpose of this research is to create a web-based shipping data archiving information system. The author uses the SDLC (System Development Life Cycle) method in the system development process and the PHP programming language and uses the MySQL database. The system that the author designed can produce software that can help the customer service department of CV. Indah Cargo Kartasura in terms of archiving goods delivery transaction data so that the service process to customers is fast and provides a sense of comfort.
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Nuraini, Fina, and Joko Sutopo. "Pengembangan Sistem Informasi Bank Sampah untuk Optimalisasi Pengelolaan Data." JTIM : Jurnal Teknologi Informasi dan Multimedia 5, no. 3 (2023): 249–61. http://dx.doi.org/10.35746/jtim.v5i3.409.
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Bank Sampah Sumber Rejeki in Cilacap City provides an opportunity for customers to deposit waste and receive monetary rewards. Unfortunately, current data management is still manual through unstructured notebooks, potentially resulting in data loss due to notebook damage, difficulty in finding customer information, and delays in making performance reports. This research aims to develop a website-based management information system that is tailored to the needs of the sampah bank. This system includes customer data management, recording waste deposit transactions, recording customer balance withdrawals, and improving waste bank data security. Data was collected through direct interviews with the manager of Sumber Rejeki Waste Bank. The development method used is Feature Driven Development (FDD) using the PHP programming language and MySQL database. In addition, testing this system also involves the black box testing method to ensure the functionality is as expected. The result of this research is a web-based system that is significant in improving the efficiency of managing customer data, transactions, and waste bank performance reports. The implementation of this system reduces the risk of errors and data loss due to manual recording and provides easier access for customers to view transaction history in the waste bank.
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Golnik, Bartosz. "The Role of Payment Cards as a Transaction Tool in Poland." Economic and Regional Studies / Studia Ekonomiczne i Regionalne 12, no. 4 (2019): 444–55. http://dx.doi.org/10.2478/ers-2019-0039.
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SummarySubject and purpose of work: The article addresses the issue of the increasing use of payment cards in Poland and related consequences in the number and volume of transactions cash and cashless. The article analyzes the growing importance of cards as a transaction medium of Poles. The topic of potential alternative payment methods was also discussed.Materials and methods: The study used the analysis of literature and source data from, among others, National Bank of Poland, prnews.pl, Statista.com database, websites of banks and others. Descriptive and statistical methods were used in order to prepare the research.Results: In Poland, the number of cards owned by citizens is growing rapidly, as well as the volume and number of transactions concluded with them. Customers, banks and economic and commercial units are most interested in payment cards market.Conclusions: Transaction with cards deepens customer attachment to a particular brand of the organization and allows to gain benefit from transaction fees. The popularization of cards results in a limited share of cash in transactions. Making debit card payments requires customers to have sufficient deposits on the account, which is also an advantage for the bank. It is expected that the scope and role of mobile payments will grow dynamically.
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Maliq, Rizky Gelar, R. Rizal Isnanto, and Ike Pertiwi Windasari. "Sistem Pemrosesan Transaksi Pada Toko Bangunan Berbasis Web Dengan PHP dan MySQL." Jurnal Teknologi dan Sistem Komputer 2, no. 2 (2014): 170–74. http://dx.doi.org/10.14710/jtsiskom.2.2.2014.170-174.
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Building supply store is a business entity engaged in the sale of construction materials for the building. Where there are still use the transaction data were administrative in bookkeeping way , so it takes a long time to figure out the sale and purchase transactions. Therefore, the author here takes issue in the sale and purchase itself. Transaction processing systems created using PHP programming language and MySQL database. System where this information can help in recording the transaction in the building supply store . In addition to recording can also be used for the preparation of monthly reports. The expected result from design of this transaction processing systems is to build a computerized information system to facilitate the operator in the transaction. With this expected to improve customer service so well that the presentation of information in a relatively quick and accurate transactions. Moreover, it can accelerate the collection of goods to see inventory and preparing reports.
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Zhong, Zihao. "Design of management database for Mihiyo company." Applied and Computational Engineering 40, no. 1 (2024): 43–53. http://dx.doi.org/10.54254/2755-2721/40/20230626.
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The mihoyo Sales Management System was developed to adjust to the dynamic business environment and maintain a competitive edge. In the context of this era, the mihoyo Sales Management System utilizes a robust database structure to optimize sales operations. In this paper, a management database for Mihiyo company is designed. The customer module stores customer information, linked to orders, payments, and expenses. An order table tracks order details, linked to customers and products. Payment and shipment tables manage transaction and delivery information. The inventory table enables real-time monitoring of stock levels. Financial management tables record sales, payment, and expense data. User tables store information related to different user roles. The system's interface seamlessly interacts with the database, allowing users to access and update information efficiently. The reporting and analytics module analyzes data from the database, facilitating decision-making and performance evaluation. Database testing requires completing relevant test cases and achieving a robust system.
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Huang, Hui-Hsin. "Customer segment model with the purchase recency, frequency and monetary amount." Marketing 56, no. 2 (2025): 113–20. https://doi.org/10.5937/mkng2502113h.
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This paper utilizes customer transaction data to segment customers based on their purchase recency, frequency, and monetary amount. By employing an empirical approach, a stochastic model is proposed to predict customer segmentation into categories such as new, active, potential, and lost. The model also constructs indices for customer equity and loyalty. This approach allows companies to practically analyze and categorize their customers, calculating the probability of segment characteristics. The study highlights the importance of customer segmentation in strategic planning, emphasizing the role of RFM (recency, frequency, monetary amount) analysis in identifying high-value customers and optimizing marketing strategies. The proposed model integrates customer equity and loyalty metrics, providing a comprehensive framework for businesses to enhance customer relationship management and targeted marketing efforts. The empirical data from a credit card customer database in Taiwan demonstrates the model's effectiveness in segmenting customers and predicting their behavior, offering valuable insights for businesses to allocate resources strategically and maximize revenue potential. This research contributes to the field by presenting a robust method for dynamic customer segmentation, applicable across various industries.
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Estrella-Ramón, Antonia. "Explaining customers’ financial service choice with loyalty and cross-buying behaviour." Journal of Services Marketing 31, no. 6 (2017): 539–55. http://dx.doi.org/10.1108/jsm-05-2015-0189.
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Purpose This paper aims to examine the impact of the customer’s previous transaction behaviour (represented by loyalty and general cross-buying) on his/her choice of specific services offered by the same financial services provider. Design/methodology/approach This study uses a set of logistic regression models by incorporating panel data from a large bank. The database consists of 2,187 randomly selected customers, and it includes features related to individual loyalty and cross-buying behaviours, as well as demographic indicators, i.e. individual measures related to each customer and each service. Findings From the results obtained, a large variation in customer choice behaviour with regard to the studied banking services was observed. These results reveal which customer transactional behaviours drive cross-category financial services purchases. Originality/value In academic literature, little progress has been made in the study of individual and behavioural factors that affect customer choices by service category, especially within the banking sector. By understanding customer choices, the company will be able to meet customer needs in a more appropriate way, thereby increasing its competitiveness. Hence, the results from this study have both managerial and research implications, improving the strategy formulation of financial services companies.
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Liao, Shu-hsien, and Yi-Shan Tasi. "Big data analysis on the business process and management for the store layout and bundling sales." Business Process Management Journal 25, no. 7 (2019): 1783–801. http://dx.doi.org/10.1108/bpmj-01-2018-0027.
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Purpose In the retailing industry, database is the time and place where a retail transaction is completed. E-business processes are increasingly adopting databases that can obtain in-depth customers and sales knowledge with the big data analysis. The specific big data analysis on a database system allows a retailer designing and implementing business process management (BPM) to maximize profits, minimize costs and satisfy customers on a business model. Thus, the research of big data analysis on the BPM in the retailing is a critical issue. The paper aims to discuss this issue. Design/methodology/approach This paper develops a database, ER model, and uses cluster analysis, C&R tree and the a priori algorithm as approaches to illustrate big data analysis/data mining results for generating business intelligence and process management, which then obtain customer knowledge from the case firm’s database system. Findings Big data analysis/data mining results such as customer profiles, product/brand display classifications and product/brand sales associations can be used to propose alternatives to the case firm for store layout and bundling sales business process and management development. Originality/value This research paper is an example to develop the BPM of database model and big data/data mining based on insights from big data analysis applications for store layout and bundling sales in the retailing industry.
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Khotantri, Cindy, Vera Wijaya, and Suhendri Nasution. "Perancangan Sistem Informasi Pemesanan Buah Berbasis Web Menggunakan Supply Chain Management Pada PT. Sukses Jaya Segar Sakti Medan." JURNAL MAHAJANA INFORMASI 7, no. 2 (2023): 143–50. http://dx.doi.org/10.51544/jurnalmi.v7i2.3601.
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Progress in the implementation of technology that is increasingly rapid and advanced encourages every business organization to be able to make adjustments to its business transaction activities so as to maximize service to customers. One technology implementation that can be applied to business transaction activities is a web-based ordering information system. PT. Sukses Jaya Segar Sakti is a company that has a business in the field of ordering and distributing fruits to customers. Marketing and ordering fruit to customers is done conventionally by contacting the customer. This study aims to design and build an ordering information system by utilizing a website and using PHP programming and MySql database. The results obtained in this study are an information system capable of supporting business organizations and customers in website-based fruit ordering transaction activities. In addition, the information system built can produce various reports according to needs quickly.
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Desai, Seema, Lata Ragha, and Vimla Jethani. "GCARM A Combined Approach to Data Mining." Asian Journal of Computer Science and Technology 1, no. 1 (2012): 47–52. http://dx.doi.org/10.51983/ajcst-2012.1.1.1671.
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Mining association rules is an essential task for knowledge discovery. From a large amount of data, potentially useful information may be discovered. Association rules are used to discover the relationships of items or attributes among huge data. These rules can be effective in uncovering unknown relationships, providing results that can be the basis of forecast and decision. The effective management of business is significantly dependent on the quality of its decision making. Past transaction data can be analyzed to discover customer behaviors such that the quality of business decision can be improved. The approach of mining association rules focuses on discovering large itemsets, which are groups of items that appear together in an adequate number of transactions. The proposed method focuses on a combined approach to generate association rules from a large database of customer transactions. This approach scans the database once to construct an association graph and clustering tables and then traverses the graph to generate all large itemsets. The proposed algorithm will outperforms other algorithms which need to make multiple passes over the database.
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Febriansyah, Febriansyah, and Rahayu Amalia. "PENERAPAN CRM PADA SISTEM INFORMASI TOKO KOPI CAP KUCING BERBASIS WEB MOBILE." ZONAsi: Jurnal Sistem Informasi 5, no. 2 (2023): 228–38. http://dx.doi.org/10.31849/zn.v5i2.11097.
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Penelitian ini bertujuan untuk mengelola data penjualan kopi lokal kota Palembang secara online dan meningkatkan pelayanan terhadap pelanggan pada Toko kopi cap kucing menggunakan metode Customer Relationship Management (CRM). Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif. Aplikasi dibangun menggunakan bahasa pemrograman PHP dan database Mysql. Hasil implementasi penerapan metode Customer Relationship Management pada toko kopi cap kucing memberikan kemudahan bagi pelanggan untuk mendapatkan informasi produk terbaru, melakukan pemesanan produk secara cepat. Pada perancangan sistem aplikasi ini, terdapat 3 aktor yaitu : admin, customer dan pengunjung. Penelitian ini menghasilkan aplikasi bagi toko kopi cap kucing maka akan membantu menyelesaikan kendala dan hambatan yang ditemukan dalam proses pelayanan secara manual, seperti keterbatasan pelayanan karyawan. Sistem pengisian data dan proses transaksi tidak lagi dilakukan secara manual dan dapat sedikit terhindar dari kesalahan karyawan. Penyediaan sarana bagi pelanggan untuk melakukan akses 24 jam baik itu untuk bertransaksi maupun memproleh informasi sehingga memberikan kemudahan dan kenyamanan bagi customer.
 Kata kunci: E-commerce, PHP, MySQL, CRM
 Abstract
 This study aims to manage data on local coffee sales in Palembang city online and improve service to customers at the Cap cat coffee shop using the Customer Relationship Management (CRM) method. The research method used in this study is a qualitative method. The application is built using the PHP programming language and MySQL database. The results of the implementation of the Customer Relationship Management method at the Cap Kucing coffee shop make it easy for customers to get the latest product information, make product orders quickly. In designing this application system, there are 3 actors, namely: admin, customer and visitor. This study resulted in an application for a Cap cat coffee shop that would help resolve the constraints and obstacles found in the manual service process, such as the limitations of employee service. The data entry system and transaction processing are no longer done manually and can avoid employee mistakes. Providing facilities for customers to access 24 hours both for transactions and obtaining information so as to provide convenience and comfort for customers.
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Siagian, Qori Azmi Ayasy Siagian, and Mukamal Bil Syahbana Angkat. "The PERANCANGAN SISTEM INFORMASI DATA KUNJUNGAN NASABAH BANK MUAMALAT BERBASIS WEB." JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI 14, no. 1 (2023): 86–95. http://dx.doi.org/10.51903/jtikp.v14i1.478.
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Technological developments are increasingly rapid with all the conveniences in assisting human activities both personally and in groups. From these activities get an important information stored. The customer transaction process still applies a manual system for recording all customer transactions using the cooperative ledger. This causes bank officers to find it difficult and convoluted in managing data, which is increasing day by day. The solution to the problems that occur at Bank Muamalat Medan is the application of information technology by installing an information or relevance system that allows officers to handle customer data. This research was built using PHP programming by operating PHP and MySQL as the database. The research results can be used in the process of controlling customer data at Bank Muamalat so that it can speed up the process of recording customer data.
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Rangga Gelar Guntara. "Firebase Realtime Database Untuk Aplikasi Point of Sales UMKM Berbasis Cloud Computing Pada Smartphone Android." Impression : Jurnal Teknologi dan Informasi 1, no. 2 (2022): 50–57. http://dx.doi.org/10.59086/jti.v1i2.75.
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Currently, micro, small and medium enterprises (MSMEs) make payment transactions at the cashier still manually. This creates many obstacles and problems, for example the management of transaction data is not carried out properly. With the rapid development of MSMEs today, business actors are required to be able to think as creatively as possible in running their business. One of the factors so that MSME businesses can develop and have strong competitiveness is good transaction management and business information. It takes a technology-based computing and informatics to reduce the problems in the MSME business actors. One of them is by utilizing cloud computing technology. Cloud computing is present as a technology that is able to solve the problem of efficiency and flexibility. This research will utilize the firebase realtime database as a product of cloud computing technology to answer the problems of MSME business actors. Problems, especially in payment transactions at the cashier to further improve customer convenience. Based on the results of research and testing of software on the android platform that has been discussed, the results of the research have been able to design a payment transaction application system for MSMEs by utilizing cloud computing and android-based realtime firebase. The suggestions for software development are to improve features and other data needed such as making more detailed financial reports.
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Sharma, Sachin, and Shaveta Bhatia. "Design and development of an algorithm for mining rare itemsets." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 41–47. https://doi.org/10.11591/ijeecs.v13.i1.pp41-47.
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Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies, to catch rare item sets, customer demarcated single threshold value ought be fixed small adequate which outcomes in generation of enormous quantity of duplicate item sets. The rare item sets may not initiate if a high threshold value is fixed. In this study, an exertion is generated to analyse the rare items for discovery of all probable rare item sets from the transaction database. To mine rare item sets effectually, a method has been anticipated that would permit customer to identify many lowest support that imitates the items and their diverse occurrences in list.
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Zhao, Zhongqiu, Xiaofei Li, Baolong Ma, and Jinlin Li. "Application of Dynamic Programming Method to Marketing Decisions Based on Customer Database." Journal of Systems Science and Information 4, no. 2 (2016): 169–76. http://dx.doi.org/10.21078/jssi-2016-169-08.
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AbstractThe paper focuses on modeling longitudinal customer behavior and develops a dynamic programming (DP) to show how customer transaction database may be used to guide marketing decisions such as pricing and the design of customer reward programs. Dynamic programming is not as a tool to marketing decisions making in this research but rather as a description of consumer behavior. The results show that the method provides a means for evaluating the effectiveness of marketing strategy, for example, customer reward programs. Moreover, the findings from the model estimation indicate that reward program can actually increase the customer’s purchase level and stimulate the repeat purchase behavior.
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Yu, Li, Zaifang Zhang, and Jin Shen. "Dynamic customer preference analysis for product portfolio identification using sequential pattern mining." Industrial Management & Data Systems 117, no. 2 (2017): 365–81. http://dx.doi.org/10.1108/imds-12-2015-0496.
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Purpose In the initial stage of product design, product portfolio identification (PPI) aims to translate customer needs (CNs) into product specifications (PSs). This is an essential task, since understanding what customers really want is at the center of product design. However, design information is incomplete and design knowledge is minimal during this stage. Furthermore, PPI is often a confusing and frustrating task, especially when customer preferences are changing rapidly. To facilitate the task, the purpose of this paper is to capture the time-sensitive mapping relationship between CNs and PSs. Design/methodology/approach This paper proposes a design sequential pattern mining model to uncover implicit but valuable knowledge from chronological transaction records. First, CNs and PSs from these records are transformed and connected according to the transaction time. Second, procedures such as litemset generation, data transformation and pattern mining are conducted based on the AprioriAll algorithm. Third, the uncovered patterns are modified and applied by engineers. Findings Using the retrieved patterns, engineers can keep up with the dynamics of customer preferences with regard to different PSs. Research limitations/implications Computational experiments on a case study of customization of desktop computers show that the proposed method is capable of extracting useful sequential patterns from a design database. Originality/value Considering the times tamps of the transactions, a sequential pattern mining-based method is proposed to extract valuable patterns. These patterns can help engineers identify market trends and the correlation among PSs.
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Hendrato, Hening, Mohamad Saefudin, and Qothrun Nada. "APPLICATION OF THE RAPID APPLICATION DEVELOPMENT METHOD FOR SALES INFORMATION SYSTEM FOR TRADITIONAL MINANG KABAU WEDDING DRESSES." Journal of Information System, Informatics and Computing 7, no. 2 (2023): 333. http://dx.doi.org/10.52362/jisicom.v7i2.1280.
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The Minang Kabau shop system is running inefficiently because the data processing structure is still manual, causing a number of problems. Processing customer data, processing transactions and generating reports are the first steps that cause problems. To avoid data redundancy which costs the shop money, a Minang Kabau shop sales application was developed. Its purpose is to handle and process data stored in a database system. Rapid Application Development, often known as the RAD System Development Method, is used to develop this information system. To speed up the process, this development strategy involves reducing the development stages. Customer and transaction data processing capabilities are included in this Minang Kabau retail sales application. Thus, this application can facilitate data processing, report creation and processing of Minang Kabau store transactions.
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Ambar Tri Hapsari and Muhamad Muslim Fauzani. "Implementasi Data Mining untuk Prediksi Minat Pembelian Produk Roti Menggunakan Metode Apriori pada Toko Roti Dapur Bunda." Jurnal Ekonomi dan Pembangunan Indonesia 3, no. 1 (2025): 290–300. https://doi.org/10.61132/jepi.v3i1.1249.
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This study aims to design and develop a web-based stock and sales transaction management system that can help admins manage accounts, stock, transactions, and sales analysis using the Apriori algorithm. This system is designed with main features such as automatic transaction recording, real-time stock monitoring, and customer purchasing pattern analysis reports. The methods used in this study include needs analysis, system design, implementation, and testing using the black box testing method. The test results show that the system runs according to the design and can increase efficiency in managing sales data. However, there are several limitations such as the need for periodic database maintenance and limitations in raw material management. With this system, it is expected that the process of recording transactions and sales analysis can be carried out faster and more accurately, thus helping in making business decisions.
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Gunadi, Goldie. "PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK MENGANALISA TRANSAKSI PENJUALAN JASA CETAK PADA UNIT PRINT ON DEMAND (POD) PERCETAKAN GRAMEDIA." Infotech: Journal of Technology Information 8, no. 2 (2022): 117–26. http://dx.doi.org/10.37365/jti.v8i2.148.
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Data mining is a method used to obtain valuable information contained in data banks. The information obtained can be used as input for determining the business strategy for the head of the company's agency. One of the most widely used data mining techniques is clustering using the K-Means method. Print on Demand (PoD) is one of the printing business units of PT. Gramedia which specifically provides printing services for various types of products, including: books, magazines, calendars, posters, promo materials such as product catalogs and brochures, as well as small-sized products such as business cards, tickets, coupons or vouchers and stickers. Currently every sales transaction data is stored in a SQL Server database, but until now the data processing is still done manually for reporting needs for company management. The purpose of this research is to perform K-Means Clustering analysis of the transaction data of sales of print services using the RapidMiner application to classify routine customer data based on the number of transactions made for each type of print product. The results of the application of the K-Means Clustering method resulted in 8 groups of customer data where the largest group consisted of 92.89% of the number of customers. The results of the analysis can be used by the company's management to determine various business strategies to increase the company's competitiveness.
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Isa, N., N. A.Kamaruzzaman, M. A. Ramlan, N. Mohamed, and M. Puteh. "Market Basket Analysis of Customer Buying Patterns at Corm Café." International Journal of Engineering & Technology 7, no. 4.42 (2018): 119–23. http://dx.doi.org/10.14419/ijet.v7i4.42.25692.
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Market Basket Analysis (MBA) is a technique in data mining used to seek the co-occurrence set of items in a large dataset or database. It is usually used in mining transactions or basket data, especially in retail. This technique has been proven beneficial in understanding customer buying patterns and preferences. It has been widely used in multinational companies. Current business trends have changed dramatically, parallel with the advancement of technology. Changes in customer demand requires an improvement in accuracy of business operations. This paper proposes the implementation of MBA at a Small Medium Enterprise business, a case study at Corm Café. Daily transaction data taken from customer order sheets has been used. A detailed implementation is demonstrated in the paper. The results identify a trend in customer buying patterns, which is useful information for the owner in planning their business operation. Â
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Ramadhani, Amaliya Izzah, Rika Ichsani Azzahra, and Rizky Basatha. "Pengembangan Aplikasi Penjualan Furniture Berbasis Visual Studio untuk Optimalisasi Proses Transaksi." Al-DYAS 4, no. 1 (2025): 434–46. https://doi.org/10.58578/aldyas.v4i1.4530.
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The development of a furniture sales application using Visual Basic addresses inefficiencies in traditional sales systems, such as errors in manual transactions and challenges in managing inventory and customer data. The objective of this study is to create a practical, user-friendly application to improve operational processes and support small and medium-sized businesses. The application was developed using Visual Basic within Microsoft Visual Studio 2022, with MySQL as the database and phpMyAdmin for database management. The methodology included designing a system to manage product inventory, customer data, and sales transactions while integrating a reporting feature. Data collection involved analyzing existing sales systems, while data analysis focused on usability testing and performance evaluation. Key findings indicate that the application enhances efficiency by reducing transaction errors, simplifying inventory management, and enabling store owners to monitor sales trends effectively through automated reports. The application also improves user experience by offering a simple and intuitive interface for daily operations. In conclusion, the developed furniture sales application provides a robust solution for small and medium enterprises, supporting better business management, minimizing human errors, and increasing productivity.
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Triandi Putra, Ferian Al Daffa. "Rancangaan Sistem Informasi Berbasis Web Untuk Pengelolaan Data Transaksi Nasabah Pada Perusahaan Pegadaian." Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi 11, no. 1 (2022): 123. http://dx.doi.org/10.35889/jutisi.v11i1.821.
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<p><strong>Abstrak.</strong> Sistem informasi pengelolaan data transaksi nasabah yang masih menggunakan aplikasi konvensional menyebabkan ketidakaktualan informasi tentang prosedur simpan pinjam di pegadaian dan sulitnya menyajikan hasil transaksi nasabah secara cepat. Artikel ini menyajikan rancangan sistem informasi pengelolaan data transaksi nasabah berbasis <em>Web</em> untuk mempermudah penyajian informasi secara aktual, baik kepada nasabah maupun bagi jajaran manajemen internal perusahaan. Pengembangan Sistem menggunakan metode <em>Agile</em>, menggunakan bahasa pemrograman PHP dan database MySql. Beberapa fitur utama yang diperoleh dari hasil kajian analisis kebutuhan sistem adalah kemampuan sistem untuk memverifikasi pengguna, manajemen data nasabah dan data barang gadai, deposit tabungan emas, proses peminjaman uang, serta informasi barang gadai dan saldo tabungan emas. Pengujian fungsionalitas sistem aplikasi menggunakan <em>BlackBox Testing.</em> Hasil pengujian menunjukkan fitur-fitur fungsionalitas yang terdapat pada sistem aplikasi telah memenuhi kebutuhan pengguna (nasabah) dan Administrator sistem dalam transaksi pegadaian.</p><p><strong>Kata Kunci </strong>: <em>Simpan Pinjam; Pegadaian; Sistem Informasi; Berbasis Web; Metode Agile </em></p><p> </p><p><em><strong>Abstract.</strong> Information systems for managing customer transaction data that still use conventional applications cause unactuality of information about savings and loan procedures at pawnshops and the difficulty of presenting customer transaction results quickly. This article presents the design of a Web-based customer transaction data management information system to facilitate the actual presentation of information, both to customers and to the company's internal management. System development using Agile method, using PHP programming language and MySQL database. Some of the main features obtained from the results of the analysis of system requirements are the ability of the system to verify users, management of customer data and data on pawned goods, gold savings deposits, money lending processes, as well as information on pawned goods and gold savings balances. Testing the functionality of the application system using BlackBox Testing. The test results show that the functional features contained in the application system have met the needs of users (customers) and system administrators in pawn transactions.</em></p><p><strong><em>Keywords:</em></strong><em> Savings and Loans; Pawnshops; Information Systems; Web-Based; Agile Method</em></p>
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Komariyah, Siti, Saeful Anwar, and Bani Nurhakim. "Implementasi Data Mining FP-Growth Untuk Analisis Pola Pembelian Pada Transaksi Penjualan." JURNAL MANAJEMEN DAN BISNIS EKONOMI 1, no. 2 (2023): 62–75. http://dx.doi.org/10.54066/jmbe-itb.v1i2.128.
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In the business world, efforts are needed as much as possible in gaining profits. The accuracy of marketing strategies can be seen from the consumer spending pattern database obtained from sales transactions on fashion products that are usually purchased simultaneously by customers. Information about the Pattern of Purchasing Customer Shopping that is Inaccurate at the Ayu Collection Online Shop Shop has caused promotional policy to be one of the causes of the store to suffer losses. One way to get an accurate customer shopping pattern is to use data mining. One of the methods contained in data mining is the association analysis method, in the association analysis there are several algorithms, one of which is the FP-Growth algorithm. In this study several association rules were found by applying the Frequent Pattern (FP-Growth) algorithm from the transaction database Fashion sales at Ayu Collection Online Shop. This association rules will later be used as decision making material to develop successful marketing and sales strategies. The findings of this study are in the form of product recommendations, namely the proposal of two or more items based on the findings of the FP-Growth algorithm using a 50% confidence value and a minimum support of 40%, this study uses assistance from the rapidminer tools version 9.9.
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Haitami, Muhammad Whildan. "Design and Build a Digital Loyal Customer Card System for an RFID-Based Moshi-Moshi Ramen Restaurant." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 9, no. 2 (2019): 51–56. http://dx.doi.org/10.33795/jartel.v9i2.210.
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Loyal customers at a restaurant definitely want a reward for their loyalty to the restaurant, Moshi-Moshi Ramen created the Loyal Customers program as an appreciation for loyal customers. The program is made using a paper card with 10 empty boxes which is stamped by the cashier when the customer pays for food. The current era of globalization allows all areas of life to be assisted by the presence of technology. One of the technologies developed in the culinary field is the design of a digital loyal customer card system based on Radio Frequency Identifier (RFID) which has been linked to the Firebase web database as a medium for storing data. It was found that there were deficiencies in the loyalty program, namely the card that was not safe to hold, especially if the card was lost, the customer could not claim the number of stamps So, to solve this problem, RFID and pin numbers are used as a safer system of loyal customer cards and the database for storing registered customer data to transform the existing loyalty customer program into a smarter system. Making a digital loyal customer card system using an RFID tag can be done using the Arduino Uno R3 microcontroller which has a reading sensitivity of up to a distance of 4.5 cm and an android application for ordering food. As well as all functions that can run well, including comparison of transaction times using manual and digital systems with a time difference of 10 seconds.
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Mundla, Vamshi, and Prabhavathi Mareddy. "Data-Driven Dialogue: Unleashing the Transformative Power of Databases in Customer Communication Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 02 (2023): 1–7. https://doi.org/10.55041/ijsrem17820.
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In the era of digital transformation, organizations are increasingly relying on robust Customer Communication Management (CCM) systems to deliver personalized, timely, and compliant communications across multiple channels. At the core of these systems lies the efficient management of dynamic data that ranges from customer profiles and transaction records to communication templates and audit logs. This paper investigates the transformative role of databases in enabling state-of-the-art CCM systems. We explore a wide spectrum of database architectures—from traditional relational databases to modern NoSQL and hybrid solutions—and analyze their integration within CCM workflows. By leveraging advanced indexing, real-time analytics, and secure data handling, databases have become essential in managing the large-scale, heterogeneous data environments encountered in today’s digital landscape. Our research provides an in-depth analysis of how databases underpin dynamic data flows and personalized communication strategies. We describe a systematic methodology to evaluate the effectiveness of different database models, integration strategies, and data security protocols within CCM systems. Moreover, we present improved block diagrams that clearly depict the overall data architecture, the sequential data flow, and the processes of personalization and analytics. In addition, we offer a comparative analysis of database models, discuss performance and scalability challenges, and explore emerging trends such as AI-driven database management and blockchain- enabled audit trails. This comprehensive study not only clarifies current practices but also identifies promising future research directions to further enhance the role of databases in CCM. Keywords Database, Customer Communication Management, CCM, Data Architecture, Personalization, Real-Time Analytics, Integration.
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Isa, Indra Griha Tofik. "Sales Strategy by Determining Tenant Position at Sriwijaya State Polytechnic Through Association Rules Analysis." IJEBD (International Journal of Entrepreneurship and Business Development) 5, no. 3 (2022): 563–73. http://dx.doi.org/10.29138/ijebd.v5i3.1855.
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Purpose: The purpose of this research is to optimize the usefulness of sales transaction reports in Sriwijaya State Polytechnic (Polsri) foodcourt and extract sales transaction report data to become the knowledge that can be used in sales strategies that is recommendations for tenant positions in accordance with customer behavior by using association rules analysis.
 Design/methodology/approach: The approach using Knowledge Discovery in Database through stages (1) Data Selection; (2) Data Classification; (3) Raw Itemset Table; (4) Data Mining Process using Association Rules Analysis; (5) Analysis Result Interpretation; (6) Marketing Strategy Recommendation.
 Findings: The results of the study are recommendations for tenant positions in accordance with customer behavior tendencies
 Research limitations/implications: Polsri foodcourt sales transaction report used in the period 01 May 2019 – 31 July 2019, with a total of 153,401 data records, data analysis using Association Rules Analysis with A Priori Algorithm, tools used are Microsoft Excel and WeKa 3.6.10
 Practical implications: The recommended tenant position can be used as a sales strategy that makes it easier for customers to choose the product to be purchased and increase sales rate
 Originality/value: The paper is original
 Paper type: Research paper
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Febrianto Pratama, Arif, and Handrie Noprisson. "Development of Financial Management Application Model for MSME-Based Laundry Business Using Waterfall Methodology." JSAI (Journal Scientific and Applied Informatics) 7, no. 3 (2024): 609–14. https://doi.org/10.36085/jsai.v7i3.7409.
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The laundry business is a micro, small and medium enterprise (MSME). However, currently, transaction handling, and financial tracking systems in MSME businesses are still manual, namely by writing in books or face-to-face communication. This research aims to develop a laundry service management system application using the waterfall method that can make it easier for owners to receive income and expense reports, transaction processes, and obtain information on business places digitally. The research stage consists of problem analysis, design, implementation and testing. The development method used is the waterfall method and application implementation using the PHP programming language, MySQL as a database, and bootstrap as a framework. Based on the results of the research, the application supports users in viewing reports from each input from the user page, customer page, laundry data, and transaction page. More specifically, the application supports user data management, customer data management (unique codes, customer names, addresses, and mobile phone numbers), transaction data management (number of clothes weight, nominal, laundry status, and other records), report management (transaction notes, income reports, and expense reports) and based on measurements using the blackbox method produces 100% accuracy.
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Randi Setia Nugraha. "MEMBANGUN E-COMMERCE PADA TOKO SEPATU PRATAMA." Journal of Computer Science and Informatics (JOCSI) 2, no. 1 (2024): 45–53. https://doi.org/10.69747/jocsi.v2i1.66.
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Toko Sepatu Pratama merupakan sebuah toko yang bergerak di bidang penjualan sepatu pria dan wanita yang terletak di Pesawaran Lampung. Dalam melakukan penjualan, perusahaan ini menggunakan sistem offline. Setelah jam operasional toko tutup, maka penjualan akan terhenti karena tidak adanya sistem online. Penjualan yang dilakukan di luar jam operasional perusahaan, melalui BBM, whatsapp, dan e-mail langsung ke admin penjualan. Pencatatan penjualan dan pengiriman yang dilakukan manual. Sehingga admin penjualan cukup kesulitan untuk menangani satu per satu telepon yang masuk. Melihat latar belakang permasalahan tersebut, dirancang sebuah sistem aplikasi yang dapat membantu meningkatkan dan mempermudah penjualan Toko Sepatu Pratama. Aplikasi yang dibuat berbasis website yang dapat diakses oleh customer melalui handphone ataupun komputer. Pembuatan website ini membantu customer untuk melakukan transaksi. Transaksi yang dilakukan meliputi, pemilihan barang, penentuan jumlah barang, pemilihan pengiriman, tujuan pengiriman, perhitungan total harga barang, biaya pengiriman dan total biaya yang harus dibayarkan customer. Konfirmasi status transaksi melalui e-mail untuk customer. Website dibuat dengan menggunakan bahasa pemrograman PHP dan database MySQL. Secara keseluruhan, website ini telah sesuai dengan kebutuhan perusahaan. Selain itu, membantu customer untuk melakukan transaksi. akan memudahkan pelaku usaha dalam menawarkan produknya sehingga usaha penjualan pakaian akan lebih meningkat. Pratama Shoe Shop is a shop that operates in the field of selling men's and women's shoes, located in Pesawaran Lampung. In making sales, this company uses an offline system. After the shop's operational hours close, sales will stop because there is no online system. Sales made outside company operating hours, via BBM, WhatsApp and email directly to the sales admin. Manual recording of sales and deliveries. So it is quite difficult for the sales admin to handle incoming calls one by one. Looking at the background of this problem, an application system was designed that could help increase and simplify sales at the Pratama Shoe Store. The application is made on a website that can be accessed by customers via cellphone or computer. Creating this website helps customers to carry out transactions. Transactions carried out include, selecting goods, determining the quantity of goods, selecting delivery, delivery destination, calculating the total price of goods, shipping costs and total costs that must inconvenience the customer. Confirm transaction status via email for customers. The website was created using the PHP programming language and MySQL database. Overall, this website meets the company's needs. Apart from that, it helps customers to make transactions. will make it easier for business actors to offer their products so that clothing sales businesses will increase.
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Mhatre, Nayan N. "Web Development for Bank Statement Analysis: Technologies, Challenges, and Innovations." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32753.
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The purpose of this project is to fulfill the requirements of a bachelor’s degree in Cloud Technology and Information Security. The project aims to design and develop a Bank Statement Analysis system that provides a more secure approach to managing bank customers' statements, strengthening the relationship between banks and their customers by offering solutions with multi-level security to improve customer satisfaction. Methodology The project utilizes a range of technologies, including: · Python Flask Framework · Computer Vision (Google's Tesseract OCR) · PDF to Image Python package (pdf2image) · Machine Learning (Scikit-Learn) to predict transaction categories · Azure SQL Database to store transaction data and user login details · Power-BI for data visualization · Docker and AWS EC2 for service hosting. Findings The Bank Statement Analysis system developed in this project offers a secure and efficient solution for managing bank customers' statements. The use of multi-level security measures, such as Azure SQL Database and Power-BI visualizations, enhances the overall security and user experience, strengthening the relationship between banks and their customers. Conclusion This project demonstrates the successful design and development of a Bank Statement Analysis system that leverages various technologies, including cloud computing, computer vision, and machine learning, to provide a more secure and user-friendly solution for managing bank customers' statements. Keywords Azure SQL Database, Power-BI Tool, AWS EC2 Service
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Febianti, Nabila Putri, Daffa Bayu Faadihilah, and Rizky Basatha. "Rancang Bangun Aplikasi Pengelola Pada Toko Vape Berbasis Visual Studio." Al-DYAS 4, no. 1 (2024): 334–44. https://doi.org/10.58578/aldyas.v4i1.4484.
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Manual management of vape stores often faces challenges in recording inventory and transactions, leading to data errors and operational inefficiencies. This research aims to develop a vape store management application using Visual Studio with a MySQL Server database to optimize product data and sales transaction management. The system development method follows the waterfall model, encompassing requirements analysis, design, implementation, and testing phases. The application was developed using Visual Basic.NET and MySQL Server, featuring key functionalities such as product master management, automated sales transaction modules, and sales reporting based on specific periods. Testing results show that the application functions optimally in managing inventory and generating accurate sales reports. The implementation of this application improves the operational efficiency of vape stores by reducing recording errors and speeding up customer service.
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Ko, Hyug-Jun, Seong-Soo Han, and Chang-Sung Jeong. "Non-Face-to-Face P2P (Peer-to-Peer) Real-Time Token Payment Blockchain System." Applied Sciences 13, no. 13 (2023): 7364. http://dx.doi.org/10.3390/app13137364.
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With the increase in intelligent voice phishing and the increasing reliance on open banking systems, there has been a rise in cases where individuals’ personal information has been exposed, resulting in significant financial losses for the victims. Non-face-to-face transactions in the financial sector face challenges such as customer identification, ensuring transaction integrity and preventing transaction rejection. Blockchain-based distributed ledgers have been proposed as a solution but their adoption is limited due to the difficulty of managing private keys and the burden of gas fees management. This paper proposes a non-face-to-face P2P real-time token payment system that minimizes the risk of key loss by storing private keys in a keystore file and database through a server-based key management module. The proposed system simplifies token creation and management through a server-based token management module and implements an automatic gas-charging function for smooth token transactions. Transaction integrity and non-repudiation are ensured through a transaction confirmation module that uses transaction IDs without exposing personal information. Furthermore, advanced security measures such as blocking foreign IP access and DDoS defense are implemented to securely protect user data. The proposed system aims to provide a convenient, secure and accessible online payment solution to the public by implementing a self-authentication function using a web application that is not limited to smartphones or application platforms.
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R, Arunadevi, Haresh R, and Shyam Jerold G. "ONLINE BANKING SECURITY WITH REAL TIME FACE RECOGNITION APPROACH." International Journal of Computer Science and Mobile Computing 12, no. 5 (2023): 7–11. http://dx.doi.org/10.47760/ijcsmc.2023.v12i05.002.
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Online banking has become an essential part of modern banking. Many attacks are successful in accessing social network accounts since the current password-based authentication paradigms are not efficient and robust enough as well as vulnerable to automated attacks. The simplest alternative is complementing the single factor (password-based) authentication process with additional identification elements, such as one-time PIN codes, generated by the user’s own device (e.g., the smartphone) or received via SMS. To improve the security of online banking transactions, real-time face recognition technology can be used as a biometric authentication technique. This technology provides a reliable and convenient way of verifying the identity of customers in real-time. The aim of this project is to develop an online banking system that uses real-time face recognition technology for customer authentication. The system will be designed to provide a secure and user-friendly interface that allows customers to carry out banking transactions such as funds transfer, bill payments, and balance inquiries. The system will incorporate a Grassmann Learning algorithm that is capable of capturing and analyzing a customer's facial features in real-time. The algorithm will compare the facial features of the customer with those in the bank's database to verify the customer's identity. Second level verification based on OTP verification in reverse order. The system will provide a secure and user-friendly interface for customers to carry out banking transactions in real-time. In this proposed net banking application notifications are sending to the user regarding banking interface access and amount transaction.
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Sharma, Sachin, and Shaveta Bhatia. "Design and development of an algorithm for mining rare item sets." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 41. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp41-47.
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<p>Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. These item sets are advantageous in professional decision making. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies, to catch rare item sets, customer demarcated single threshold value ought be fixed small adequate which outcomes in generation of enormous quantity of duplicate item sets. The rare item sets may not initiate if a high threshold value is fixed. In this study, an exertion is generated to analyse the rare items for discovery of all probable rare item sets from the transaction database. To mine rare item sets effectually, a method has been anticipated that would permit customer to identify many lowest support that imitates the items and their diverse occurrences in list.<strong> </strong>Investigational results shows that novel methodology is more righteous and vigorous than the present systems.</p>
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Francis Xavier, Kavin, Devi Kabirdoss, Chandramouli Seetharaman, Kotteeswaran Mani, Ganesan Veeramani, and Vinoth Kumar Murali Thiyagarajan. "Monitoring the Manufacturing Operation Process Data through the Cloud Database." Journal of Advanced Research in Applied Sciences and Engineering Technology 50, no. 1 (2024): 276–85. http://dx.doi.org/10.37934/araset.50.1.276285.
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The level of service provided by disseminating industrial management was difficult to match by the customer or multivalent based on embedded data stores now in usage. An Embedded Cloud Database Service (ECDT) approach is proposed as a solution to the problems. To enhance the actual-time performance and dependability to transaction processing, ECDT architecture should be first built, and a Dual-Timing Transaction Control (DTC) mechanism was proposed. Then, a different network sniff-timing calculation method was presented to increase the effectiveness of the ECDT method, and a cloud services middleware component was built to carry out dynamic access control and real-time DB search. In comparison to MySQL and Berkeley DB, the total transaction processing time could be slashed by 45.5% and 36.7%, correspondingly. The DNS2 algorithm could also function with average demand and time change and use less energy. Finally, the results of the numerical and commercial experiments show that the DTC technique could improve the real period precision of transmission operations in a condition where reading consistency was guaranteed, and the data transfer speed could be 20 MB/s.
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Narsaiah, M. N., Gangalam Lasya, Kondamudi Veronica, et al. "Fingerprint Recognition for Future ATM Security." E3S Web of Conferences 430 (2023): 01167. http://dx.doi.org/10.1051/e3sconf/202343001167.
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Today, it is typical to need to identify and validate a person in order to use a safe box, operate a vehicle, access a bank account via an ATM, or carry out other operations that call for the protection of personal information. The accuracy and dependability of traditional methods, such as ID card verification or signature, are lacking. The systems in use at these places must be rapid and dependable. The usage of ATMs, which allow users to conveniently exchange banknotes, is now met with a new challenge: guaranteeing that users can maintain a valid identification. Customers are experiencing financial losses as a result of the increase in criminal cases brought about by antiquated ATM identification procedures. Our system’s main objective is to improve the usability and security of online transactions. Today, the application of biometric technologies is expanding swiftly. Biometrics is used for personal identification. Here, we are allowing user’s access to an ATM by means of a biometric fingerprint scanner. The Bank enters a fingerprint’s information into a database during the enrolment procedure. The bank provides authentication to the customer, which they can use to conduct transactions. If a fingerprint match in the database occurs, transactions take place. The transaction will be cancelled if, following verification, the fingerprint does not match. The user of a fingerprint-based ATM machine can conduct secure transactions.
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Nasution, Mardiah, and Ayu Nuriana. "PERANCANGAN SISTEM INFORMASI PENGOLAHAN DATA NASABAH PADA KOPERASI BMT KUBE SEJAHTERA 001 BANDAR SETIA." Syntax : Journal of Software Engineering, Computer Science and Information Technology 3, no. 2 (2022): 247–54. http://dx.doi.org/10.46576/syntax.v3i2.2586.
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Abstrak— Kebutuhan informasi pengelolaan transaksi pada KSU Syariah LKMS BMT KUBE SEJAHTERA 001 selama ini belum tersaji secara maksimal, BMT yang dijalankan dengan pola pemberdayaan dan pendampingan untuk kube selanjutnya diarahkan dan diintegrasikan dengan mengembangkan Lembaga Keuangan Mikro yang dikelola secara profesional. Hampir semua sistem pengolahan data transaksi nasabah pada koperasi ini masih dilakukan secara manual serta tidak tersistematis. Sebuah Sistem pengolahan transaksi data nasabah akan meningkatkan efisiensi sera efektivitas kerja dan secara otomatis dapat meningkatkan kualitas perusahaan dan manajemen, setiap data dan transaksi akan lebih mudah dicari dan digunakan dalam pembuatan keputusan di masa mendatang. Sistem informasi dirancang menggunakan Microsoft Visual Studio, database MySQL dan pemodelan Unified Modeling Language (UML) menghasilkan sistem yang dibutuhkan semua pihak sehingga pelayanan yang diterima nasabah maupun pemilik lebih baik dari sebelumnya.Kata Kunci— sistem, sistem informasi, koperasi, UML, microsoft visual studio. Abstract— The need for information on transaction management at KSU Syariah LKMS BMT KUBE SEJAHTERA 001 has not been optimally served, BMT which is implemented with an empowerment and mentoring pattern for kube is then directed and integrated by developing microfinance institutions that are managed professionally. Almost all customer transaction data processing systems in this cooperative are still carried out manually and not systematically. A customer data transaction processing system will increase work efficiency and effectiveness and can automatically improve the quality of the company and management, every data and transaction will be easier to find and use in making decisions in the future. The information system is designed using Microsoft Visual Studio, MySQL database and Unified Modeling Language (UML) modeling to produce a system that is needed by all parties so that the service received by customers and owners is better than before. Keywords— system, information system, cooperatives, UML, microsoft visual studio.
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Efrans Christian and Widiatry Widiatry. "SISTEM INFORMASI POINT OF SALE BERBASIS WEB PADA DISTRIBUTOR ALAT KESEHATAN." Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika 17, no. 1 (2023): 69–80. http://dx.doi.org/10.47111/jti.v17i1.8003.
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 PT. Riyani Jaya Mandiri is a distributor company engaged in the sale of medical devices, in the Central Kalimantan area, this company itself often has difficulty in managing sales transaction data because the existing information system often experiences problems and does not work well, so that some process back using manual or conventional methods. Based on these problems, a Point of Sales (POS) application was developed which aims to build a system that can process sales transaction data computerized and integrated with the database so that the management, search, and reporting of transaction data becomes faster. . In its manufacture, the Waterfall Methodology is used. The result of this research is a web-based Point of Sales (POS) application that was built to adapt the existing business processes at PT. Riyani Jaya Mandiri which can manage product data, customer data and transaction data so that it can provide information on sales activities to the company in order to take decisions and actions in improving service quality and sales to customers.
 
 
 
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Oktafianto, Tri, and Ismail Ismail. "PERANCANGAN SISTEM INFORMASI POINT OF SALE (POS) BERBASIS WEB PADA TOKO ASKA OUTDOOR TANGERANG." Jurnal Informatika dan Komputasi: Media Bahasan, Analisa dan Aplikasi 15, no. 02 (2021): 122–27. http://dx.doi.org/10.56956/jiki.v15i02.90.
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Aska Outdoor is a business that sells sports and outdoor equipment in the Tangerang area. The transaction recording system at Aska Outdoor currently still uses manual recording in books which often causes various problems in managing purchase transaction data, sales transactions and inventory of goods such as inventory data which is often inaccurate, service becomes slow, goods are sold online through marketplace is only items with a lot of stock, the possibility of loss will not be caught immediately, and sometimes there is an accumulation of stock. To solve this problem, it is necessary to create a web-based point of sale (POS) information application that can improve and simplify the performance of employees at Aska Outdoor stores so that they can produce reports that are faster, more precise and accurate. The system design stages that will be proposed are using UML diagrams. The application is made using the PHP programming language and using the MySQL database. With the creation of "Designing a Web-Based Point Of Sale (POS) Information System at Aska Outdoor Tangerang Stores" it is hoped that it can assist sales admins (cashiers and online marketing) and warehouse admins in managing inventory data properly such as goods data, purchase transaction data, sales transaction data , supplier data, and customer data. Meanwhile, leaders can find out and get information about purchase transactions, sales transactions, and inventory of goods in the form of reports quickly, precisely and accurately.
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Gan, Ping. "Users Shopping Behavior Mining of B2C E-Commerce." Advanced Materials Research 765-767 (September 2013): 1568–71. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1568.
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Rich transaction information and customer data can be recorded by the back-end database of e-commerce sites. By the application of the basket model in data mining analysis the correlation between data and predict customer loyalty. Then combined with the customer's shopping behavior, sales promotions pattern based prediction model is proposed and implemented. The research results will enable the B2C e-commerce to make the appropriate commercial promotion, and to improve the profitability of the company in the B2C mode by customer behavior, personal preferences.
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Ebole, Alpha Friday, Adewale Abduirasaq Shomope, and Mary Amusu. "The Power of USSD: A Solution to African Financial Transaction Problems." International Journal of Computer Science and Mobile Applications 10, no. 6 (2022): 19–39. https://doi.org/10.5281/zenodo.6790456.
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Paying mobile bills has now become simple with the help of Internet banking and credit cards, Customer adapted to prepaying and get credited by buying them online or at the store nearby. Whereas the post-pay adapted customer pays his bills by end of his service session through online money transfer or paying bills at the store. These payment processes are hard to make sometimes, considering the resources available in underdeveloped countries or in a place where the Internet is difficult to find. Unstructured Supplementary Service Data payments (USSD) also come in handy when a customer runs out of Internet credits or uses a phone which does not provide him internet on the go. With limited resources, USSD payment provides clients the advantage of getting a phone card credited on tap. To make this happen, network providers and banks must work together. The network provider creates a database to save bank card details and accesses them when required with permission of the respective customer whenever a transition is made through USSD. For every payment, an authentication protocol is performed to avoid hackers and make secured money transfer. This Journal highlights the downsides of financial exclusion in modern societies and how we can leverage the technology of mobile money to drive financial inclusion in our society with a particular interest in unbanked areas in Nigeria. The financial sector is a heavily regulated sector in Nigeria, so it will be essential to see what it takes to set up mobile money operations in Nigeria and make it accessible to people who actually need it and the availability of the technology needed to make that happen. Even though mobile money operation is not so new, adoption has been very slow and this study is going to primarily highlight how adoption can be improved and the infrastructure needed to drive that adoption. The result of this study shows that the adoption of Mobile money can increase financial inclusion in Nigeria to 95% and as well connect over 99% of the adult population to easy credit facilities and financial services. In conclusion, the study recommends the quick adoption of mobile money wallets for personal finance considering the literacy landscape of Nigeria and the ease with which it provides credits and financial services to people in remote areas of the country, improving the ease of doing business, and bringing much-needed financial literacy to the people.
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Rahmadsyah, Arif, and Nova Mayasari. "Grouping Goods with the Association Rule Method Using A priori Algorithms in Modern Retail Stores." International Journal of Science, Technology & Management 3, no. 6 (2022): 1527–32. http://dx.doi.org/10.46729/ijstm.v3i6.637.
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The proliferation of retail companies in Indonesia makes competition quite fierce in this business. The availability of detailed information on products purchased from each customer transaction in the database will become data garbage, which continues to grow every day. Company managers will certainly be interested in knowing whether certain groups of products are consistently purchased together. They can use this data for optimal grouping and placement of products, and managers can also use this information for cross-selling, for promotions, for catalog design and to identify customer segments based on purchasing patterns. In this study, data mining with Association rule techniques was used to explore patterns of attribute relationships and frequent itemsets in the Retail database. The a priori paradigm is used to find large itemsets in the determination of association rules. The integration of association rules with the a priori paradigm has managed to find a number of patterns of relationships between attributes in retail databases.
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Siregar, Victor Marudut Mulia, and Nancy Florida Siagian. "SISTEM INFORMASI FRONT OFFICE UNTUK PENINGKATAN PELAYANAN PELANGGAN DALAM RESERVASI KAMAR HOTEL." Jurnal Teknik Informasi dan Komputer (Tekinkom) 4, no. 1 (2021): 77–82. http://dx.doi.org/10.37600/tekinkom.v4i1.279.
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The research aims to overcome the problem of managing customer data, room data, and transaction data manually at Hotel Fergael. The management of customer data, room data and transaction data that are processed manually, is overcome by building a Front Office Information System for hotel room reservations at Hotel Fergael. The results of the Front Office Information System research for hotel room reservations at the Fergael Hotel can be done quickly, effectively and efficiently at the receptionist's work time, making reports can also assist managers in seeing reservations that have or have occurred at the Fergael Hotel. The system is designed in the form of Visual Basic and uses a MySQL database. With this research, the receptionist can expedite the activities that run at the Fergael Hotel, especially room input, customer input, and room reservations that occur at the Fergael Hotel Pematangsiantar. Keywords: Information System, Visual Basic, MySQL, Reservation, Hotel